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    Associate Director, Process Analytics - Holly Springs, United States - Fujifilm Diosynth Biotechnologies

    Fujifilm Diosynth Biotechnologies
    Fujifilm Diosynth Biotechnologies Holly Springs, United States

    2 weeks ago

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    Description

    The Associate Director, Process Analytics is the system owner for this function, focusing on the drug substance manufacturing at FDBN. This role sets up and maintains

    informatics systems for process analytics purposes, leads projects to create new process analytics systems, and expands the capabilities and functionalities.

    This role also supports Process Science for the drug substance group, and ensures the systems support the business processes in place for the site.

    Additionally, this role creates multivariate models and provides training in the use of process analytics systems that are currently in place

    Major Accountabilities

    Builds the Process Analytics team and develops the team to deploy digital solutions for real-time process monitoring and multivariate statistical process control

    Supervises the Analytics team and sets the direction for individual and team goals

    Leads the architecture, design, and deployment of site's process data platforms to allow machine learning models, data science applications, and other custom applications and dashboards

    Leads the Process Analytics team in developing and maintaining internal data-focused webapps to support different stakeholders

    Seeks to continuously optimize the data management of manufacturing processes while focusing on digital solutions

    Partners with users (internal and clients) to define functional specifications and process requirements from a process data perspective,

    specifically process data transmittance (sensor, control, and operation data)

    Partners with users (internal and clients) for data used to support continuous manufacturing and validation, continuous improvement and regulatory commitments

    Leads innovations and systems improvement initiatives in the Process Analytics space (e.g., new in-line and on-line Process Analytical Technologies

    (PAT) solutions for biopharmaceutical processes with a strong focus on drug substance production process monitoring and control)

    Trains relevant stakeholders on PAT tools and respective analytical approaches (e.g., multivariate models and other statistical process methods)

    Establishes systems and procedures to enable proactive process monitoring, analysis, and reporting of manufacturing process data

    Provides team support for investigations, root cause analysis, and optimization with data support and analysis

    Functions as senior technical data leader and contact for process data, statistics, modeling, and PAT activities (e.g., automation interface between PAT analyzers and sensors and data systems)

    Leads team in curating critical knowledge and developing best practices in Process Analytics space

    Serves as a key stakeholder in business development and defining the future large-scale operations model, including site's digital roadmap of GxP process data

    Designs and leads the development of applications and methods with model for process characterization and scale-up/out (e.g., transition analysis to monitor column integrity, e-chromatogram review)

    Coaches and mentors direct reports and team members to foster professional development and growth

    Enforces and ensures team adheres to company policies and procedures

    Participates in the recruitment process to attract talent

    Collaborates with other departments (e.g., HR, Talent Acquisition) and provides input to develop retention strategies

    Addresses employee concerns and partners with HR for resolution, as needed

    Evaluates team performance and address gaps appropriately

    Other duties, as assigned

    Knowledge, Skills and Abilities

    Strong knowledge of US and international regulatory standards and ICH guidelines especially with regards to data integrity

    Knowledge of PAT methodologies and implementation

    Knowledge of SIMCA-Online, TIBCO Statistical, Visual Basic and Git version control

    Strong attention to detail, highly organized, and solution-oriented mindset

    Ability to multitask in a fast-paced, highly interactive environment

    Ability to adapt communication style to differing audiences and advise others on difficult matters

    Effective communication, both written and oral

    Ability to effectively present information to others

    Ability to provide feedback to others, including leaders

    Advanced problem-solving skills

    Demonstrated ability to hire and develop top technical talent to build and lead a high performing team, projects, programs while directing allocation of resources

    Must be willing to travel domestic and international, 10-20%

    Minimum Requirements

    Bachelors degree in Engineering, Scientific or Mathematics field with 15 years of relevant experience (e.g., Statistical Control of Manufacturing Processes or Development of Data Collection/Management Systems); or

    Masters degree with 12 years of relevant experience

    Previous management or supervisory experience

    Working-knowledge of structured query language (SQL) and experience with data science and the Python data science ecosystem (e.g., NumPy, SciPy, pandas, Scikit-learn, Jupyter Notebook)

    Prior experience with data mining, management and visualization, statistical process control, and manufacturing processes

    Preferred Requirements

    Experience working in a Good Manufacturing Practices (GMP) environment

    Experience using IT systems to support data acquisition, management, and evaluation

    Prior experience collaborating and interacting with a global team

    Experience with multivariate data analysis



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